EDGE force-sensing HMI technology delivers competitive advantage to smartphone makers
Peratech is demonstrating QTC EDGE at Mobile World Congress in meeting room 7O70MR (Hall 7, Row O – UK Exhibitor Section)
Peratech is demonstrating QTC EDGE at Mobile World Congress in meeting room 7O70MR (Hall 7, Row O – UK Exhibitor Section)
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Improved Accuracy with Faster Dynamic Responses POSITAL’s updated analog programmable rotary encoder are now available…
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■ Small Ø4 x 35 mm or M5 x 35 mm stainless steel housing ■…
Especially the counting of transparent, stacked plastic caps, as they for example frequently are used…
Here at DesignSpark we are always keen to bring you exciting and relevant products, the…
Many promises of great value are currently linked to machine learning or self-learning algorithms. Big data and great computing power are required to see them come to fruition. For sensor applications in predictive maintenance, an ARM®-based microcontroller may be sufficient to implement AI algorithms. This has been demonstrated by Andreas Mangler, Director Strategic Marketing & Communications at Rutronik, together with his engineering team.